LSFH - Today's Games Farm

Roster

Player	#	POS	CON	CK	FG	DI	SK	ST	EN	DU	PH	FO	PA	SC	DF	PS	EX	LD	PO	MO	OV	AGE	CONTRACT
Mason Shaw	20	C/LW	100.00	69	71	75	64	70	63	69	61	59	68	63	73	54	57	57	0	50	68	24	750,000$/1yrs
Jonah Gadjovich	26	LW	100.00	82	98	85	59	81	56	68	57	52	69	60	68	54	56	58	0	50	67	24	750,000$/1yrs
Greg McKegg	14	C/LW	100.00	62	50	72	59	67	65	66	57	70	59	58	63	54	68	61	0	50	64	31	762,500$/2yrs
Joona Koppanen	45	C/LW	100.00	55	57	66	59	67	66	64	59	56	58	58	63	58	60	56	0	50	63	25	750,000$/3yrs
Scott Reedy	54	C	100.00	55	55	67	58	69	64	62	58	55	56	58	59	54	58	55	0	50	62	24	925,000$/2yrs
Justin Kirkland	7	C/LW/RW	100.00	57	56	68	59	66	63	61	58	63	58	58	60	58	62	58	0	50	62	27	750,000$/2yrs
Cedric Pare (R)	17	C	100.00	55	54	67	57	70	62	61	57	70	56	56	61	54	58	55	0	50	61	24	750,000$/1yrs
Mitchell Hoelscher (R)	0	C	100.00	55	55	67	56	59	62	61	56	70	55	56	61	54	56	54	0	50	60	23	750,000$/1yrs
Martin Pospisil	24	C/LW	100.00	57	55	65	57	64	59	59	56	55	56	56	61	55	58	55	0	50	60	23	750,000$/2yrs
Blade Jenkins	27	C/LW	100.00	54	54	68	56	65	60	59	55	55	54	55	60	54	56	54	0	50	59	23	803,333$/1yrs
Luke Toporowski	0	C/LW	100.00	52	54	63	56	56	60	59	56	52	54	57	59	54	52	50	0	50	59	22	870,000$/3yrs
Raivis Ansons (R)	0	C/LW	100.00	52	51	63	53	60	59	58	52	52	52	52	55	51	51	49	0	50	56	21	844,167$/2yrs
Matthew Maggio (R)	0	C	100.00	52	51	65	51	57	51	51	51	52	51	51	58	51	51	49	0	50	55	20	750,000$/4yrs
Amadeus Lombardi (R)	0	C	100.00	51	51	65	51	52	51	51	51	67	51	51	57	51	49	48	0	50	55	20	926,667$/4yrs
Oskari Laaksonen	3	D	100.00	55	55	66	57	60	63	62	57	40	57	55	60	54	58	55	0	50	61	24	925,000$/1yrs
Max Gildon	38	D	100.00	56	54	66	57	65	61	61	56	40	56	55	60	54	58	55	0	50	60	24	925,000$/1yrs
Scratches
Zack Kassian	44	RW	100.00	73	69	82	61	81	59	76	58	53	68	60	67	56	75	60	0	50	67	32	3,200,000$/2yrs
Anton Blidh	81	LW	100.00	66	51	72	60	69	63	62	58	53	62	58	65	54	62	59	0	50	64	28	750,000$/3yrs
Cole Bardreau	59	C	100.00	55	60	66	60	62	66	64	58	70	57	59	60	54	69	61	0	50	63	30	750,000$/1yrs
Connor Bunnaman	25	C/LW	100.00	55	56	66	60	68	65	63	57	70	55	59	62	54	60	56	0	50	62	25	750,000$/1yrs
Nikita Zaitsev	22	D	100.00	72	41	80	62	73	75	80	58	40	70	58	84	54	68	64	0	50	71	31	4,500,000$/2yrs
Jarred Tinordi	25	D	100.00	76	69	75	67	84	71	66	56	40	67	58	81	54	62	59	0	50	70	31	900,000$/2yrs
Derrick Pouliot	52	D	100.00	57	54	65	56	65	63	60	57	40	60	55	61	54	66	60	0	50	62	29	750,000$/1yrs
Jeremy Davies	37	D	100.00	56	55	62	61	60	66	64	58	40	57	57	62	54	63	58	0	50	62	26	750,000$/2yrs
Wyatt Kalynuk	48	D	100.00	56	55	63	57	61	65	64	57	40	57	56	62	54	62	57	0	50	62	26	750,000$/2yrs

Show or Hide Column

Filter Tips

Priority	Type	Description
1	`\|` or `OR`	Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2	`&&` or `AND`	Logical "and". Filter the column for content that matches text from either side of the operator.
3	`/\d/`	Add any regex to the query to use in the query ("mig" flags can be included `/\w/mig`)
4	`< <= >= >`	Find alphabetical or numerical values less than or greater than or equal to the filtered query
5	`!` or `!=`	Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (`=`), single (`'`) or double quote (`"`) to exactly not match a filter.
6	`"` or `=`	To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7	`-` or `to`	Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8	`?`	Wildcard for a single, non-space character.
8	`*`	Wildcard for zero or more non-space characters.
9	`~`	Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10	text	Any text entered in the filter will match text found within the column

Goalie	#	CON	SK	DU	EN	SZ	AG	RB	SC	HS	RT	PH	PS	EX	LD	PO	MO	OV	AGE	CONTRACT
Jaxson Stauber	0	100.00	58	55	56	69	67	57	67	59	60	54	55	54	51	0	50	61	24	925,000$/2yrs
Jacob Ingham	31	100.00	52	52	52	67	58	51	59	52	58	55	54	53	50	0	50	56	23	850,000$/1yrs
Scratches
Collin Delia	60	100.00	63	62	64	72	68	61	70	62	69	60	72	63	58	0	50	66	29	750,000$/2yrs
Mikhail Berdin	40	100.00	60	60	60	61	63	63	62	58	55	57	59	57	52	0	50	61	25	750,000$/1yrs

Coaches Name	PH	DF	OF	PD	EX	LD	PO	CNT	Age	Contract	Salary
Steve Hartley	75	75	75	75	75	75	75	USA	38	5	0$

General Manager

Player Stats

Show or Hide Column

Filter Tips

Priority	Type	Description
1	`\|` or `OR`	Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2	`&&` or `AND`	Logical "and". Filter the column for content that matches text from either side of the operator.
3	`/\d/`	Add any regex to the query to use in the query ("mig" flags can be included `/\w/mig`)
4	`< <= >= >`	Find alphabetical or numerical values less than or greater than or equal to the filtered query
5	`!` or `!=`	Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (`=`), single (`'`) or double quote (`"`) to exactly not match a filter.
6	`"` or `=`	To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7	`-` or `to`	Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8	`?`	Wildcard for a single, non-space character.
8	`*`	Wildcard for zero or more non-space characters.
9	`~`	Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10	text	Any text entered in the filter will match text found within the column

#	Player Name	Team Name	#	POS	GP	G	A	P	+/-	PIM	PIM5	HIT	SHT	OSB	OSM	SHT%	SB	MP	PPG	PPA	PPP	PKG	PKA	PKP	PKM	GW	GT	FO%	EG	HT	P/GP	PSG	PSS	GSAVG

Show or Hide Column

Filter Tips

Priority	Type	Description
1	`\|` or `OR`	Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2	`&&` or `AND`	Logical "and". Filter the column for content that matches text from either side of the operator.
3	`/\d/`	Add any regex to the query to use in the query ("mig" flags can be included `/\w/mig`)
4	`< <= >= >`	Find alphabetical or numerical values less than or greater than or equal to the filtered query
5	`!` or `!=`	Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (`=`), single (`'`) or double quote (`"`) to exactly not match a filter.
6	`"` or `=`	To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7	`-` or `to`	Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8	`?`	Wildcard for a single, non-space character.
8	`*`	Wildcard for zero or more non-space characters.
9	`~`	Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10	text	Any text entered in the filter will match text found within the column

#	Goalie Name	Team Name	GP	W	L	OTL	PCT	GAA	MP	PIM	SO	GA	SA	SAR	A	EG	PS %	PSA	ST	BG	S1	S2	S3

Salary

Player Name	POS	Age	Cap Hit	2023-24	2024-25	2025-26	2026-27	2027-28
Amadeus Lombardi	C	20	926,667$	926,667$	926,667$	926,667$	926,667$	RFA
Anton Blidh	LW	28	750,000$	750,000$	775,000$	775,000$	UFA
Blade Jenkins	C/LW	23	803,333$	803,333$	RFA
Cedric Pare	C	24	750,000$	750,000$	RFA
Cole Bardreau	C	30	750,000$	750,000$	UFA
Collin Delia	G	29	750,000$	750,000$	775,000$	UFA
Connor Bunnaman	C/LW	25	750,000$	750,000$	RFA
Derrick Pouliot	D	29	750,000$	750,000$	UFA
Greg McKegg	C/LW	31	762,500$	762,500$	762,500$	UFA
Jacob Ingham	G	23	850,000$	850,000$	RFA
Jarred Tinordi	D	31	900,000$	900,000$	1,250,000$	UFA
Jaxson Stauber	G	24	925,000$	925,000$	925,000$	RFA
Jeremy Davies	D	26	750,000$	750,000$	775,000$	UFA
Jonah Gadjovich	LW	24	750,000$	750,000$	RFA
Joona Koppanen	C/LW	25	750,000$	750,000$	775,000$	775,000$	UFA
Justin Kirkland	C/LW/RW	27	750,000$	750,000$	775,000$	UFA
Luke Toporowski	C/LW	22	870,000$	950,000$	950,000$	950,000$	RFA
Martin Pospisil	C/LW	23	750,000$	750,000$	775,000$	RFA
Mason Shaw	C/LW	24	750,000$	750,000$	RFA
Matthew Maggio	C	20	750,000$	950,000$	950,000$	950,000$	950,000$	RFA
Max Gildon	D	24	925,000$	925,000$	RFA
Mikhail Berdin	G	25	750,000$	750,000$	RFA
Mitchell Hoelscher	C	23	750,000$	750,000$	RFA
Nikita Zaitsev	D	31	4,500,000$	4,500,000$	4,500,000$	UFA
Oskari Laaksonen	D	24	925,000$	925,000$	RFA
Raivis Ansons	C/LW	21	844,167$	844,167$	844,167$	RFA
Scott Reedy	C	24	925,000$	925,000$	775,000$	RFA
Wyatt Kalynuk	D	26	750,000$	750,000$	775,000$	UFA
Zack Kassian	RW	32	3,200,000$	3,200,000$	3,200,000$	UFA

Lines

Forward Lines

Defensive Pairings

1st Power Play Unit

2nd Power Play Unit

Goalies

Team Stats

Show or Hide Column

Filter Tips

Priority	Type	Description
1	`\|` or `OR`	Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2	`&&` or `AND`	Logical "and". Filter the column for content that matches text from either side of the operator.
3	`/\d/`	Add any regex to the query to use in the query ("mig" flags can be included `/\w/mig`)
4	`< <= >= >`	Find alphabetical or numerical values less than or greater than or equal to the filtered query
5	`!` or `!=`	Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (`=`), single (`'`) or double quote (`"`) to exactly not match a filter.
6	`"` or `=`	To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7	`-` or `to`	Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8	`?`	Wildcard for a single, non-space character.
8	`*`	Wildcard for zero or more non-space characters.
9	`~`	Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10	text	Any text entered in the filter will match text found within the column

#	VS Team	GP	W	L	T	OTW	OTL	SOW	SOL	GF	GA	Diff	P	PCT	G	A	TP	SO	EG	GP1	GP2	GP3	GP4	SHF	SH1	SP2	SP3	SP4	SHA	SHB	Pim	Hit	PPA	PPG	PP%	PKA	PK GA	PK%	PK GF	W OF FO	T OF FO	OF FO%	W DF FO	T DF FO	DF FO%	W NT FO	T NT FO	NT FO%	PZ DF	PZ OF	PZ NT	PC DF	PC OF	PC NT	GF%	SH%	SV%	PDO	PDOBRK
	Total	0	0	0	0	0	0	0	0	0	0	0	0	0.000	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0.00%	0	0	0.00%	0	0	0	0.00%	0	0	0.00%	0	0	0.00%	0	0	0	0	0	0	nan%	nan%	nan%	nan	Unlucky

	Puck Time
Offensive Zone	NAN
Neutral Zone	NAN
Defensive Zone	NAN

	Puck Time
Offensive Zone Start	0
Neutral Zone Start	0
Defensive Zone Start	0

	Puck Time
With Puck	NAN
Without Puck	NAN

	Faceoffs
Faceoffs Won	0
Faceoffs Lost	0

	Team Average Shots after	League Average Shots after
1st Period	nan	9.57
2nd Period	nan	20.31
3rd Period	nan	30.68
Overtime	nan	31.4

Goals in	Team Average Goals after	League Average Goals after
1st Period	nan	0.64
2nd Period	nan	1.65
3rd Period	nan	2.67
Overtime	nan	2.83


Even Strenght Goal	0
PP Goal	0
PK Goal	0
Empty Net Goal	0

	Home	Away
Win	0	0
Lost	0	0
Overtime Lost	0	0


PP Attempt	0
PP Goal	0
PK Attempt	0
PK Goal Against	0

	Home
Shots For	nan
Shots Against	nan
Goals For	nan
Goals Against	nan
Hits	nan
Shots Blocked	nan
Pim	nan

Schedule

Date	Matchup			Result	Detail

Finance

Salary Cap
Players Total Salaries	Retained Salary	Total Cap Hit	Estimated Cap Space
0$	0$	0$	75,000,000$

Arena	About us
	Name
	City	Charlotte
	Capacity	3000
	Season Ticket Holders	10%

Arena Capacity - Ticket Price Attendance - %

Arena Capacity	2000	1000
Ticket Price	35$	15$	$	$	$
Attendance	0.00%	0.00%	0.00%	0.00%	0.00%
Attendance PCT	0.00%	0.00%	0.00%	0.00%	0.00%

Income

Home Games Left	Average Attendance - %	Average Income per Game	Year to Date Revenue	Arena Capacity	Team Popularity
41	0 - 0.00%	0$	0$	3000	100

Expenses
Players Total Salaries	Players Total Average Salaries	Coaches Salaries	Special Salary Cap Value
0$	0$	0$	0$

Year To Date Expenses	Salary Cap Per Days	Salary Cap To Date	Luxury Taxe Total
0$	0$	0$	0$

Estimate
Estimated Season Revenue	Remaining Season Days	Expenses Per Days	Estimated Season Expenses
0$	0	0$	0$

Team Total Estimate
Estimated Season Expenses	Estimated Season Salary Cap	Current Bank Account	Projected Bank Account
0$	0$	0$	0$

Sponsors
TV Rights	Primary Sponsor	Secondary Sponsor	Secondary Sponsor

Depth Chart

Rookie

Injured

Cold Streak

Hot Streak

Left Wing

Center

Right Wing

Defense #1

Defense #2

Goalie

Transactions

Injuries

No Injury or Suspension.

Game Center

TRANSACTIONS

Team Info


	Head Coach	Steve Hartley
	Division	ATLANTIQUE
	City	Charlotte
	Stadium Capacity	3,000

Checkers Affiliation


	General Manager
	Head Coach	Vincent Damphousse
	Stadium
	Capacity	17,000

Team Leaders

Expanded Player Leaderboard

Team Stats

Goals For 0 nan GFG	Goals Against 0 nan GAA
Power Play Percentage nan% 0 GF	Penalty Kill Percentage nan% 0 GA
Expanded Team Stats

Team Captain - Alternate Captains

Captain

Alternate Captain